L’art du plan tarifaire
Constructing effective rating plans is a nuanced process, encompassing considerations ranging from model integration, regulatory filings, to systems programming. This presentation aims to shed light on these vital aspects, while also venturing into less conventional concepts like overlays and separate rating for new business versus renewal business and other exotic ideas. Our discussion aims to offer comprehensive insights into the creation of successful rating plans, illuminating the intricacies of this critical process in the world of insurance and outlining the most desirable properties of a good rating plan.
Learn more about the speakers
Max Martinelli
Max Martinelli is a Managing Director in the Insurance and Actuarial Advisory Services practice of EY, where he focuses on P&C pricing, actuarial data science, applied AI and external rating. He has over a decade of experience in actuarial and data science roles, primarily in predictive modeling for personal and commercial lines, and a background in machine learning and computational mathematics. A dedicated collaborator with the Casualty Actuarial Society, he co-designed and led the CAS AI Fast Track bootcamp and co-hosts Almost Nowhere, the CAS Institute podcast exploring AI and data science in insurance.
Thomas Holmes
Tom Holmes est Chief Actuarial Officer chez Akur8 et co-auteur de la monographie n° 13 de la CAS, Penalized Regression and Lasso Credibility. Il a modélisé des risques en assurance de particuliers comme d’entreprises, et s’investit bénévolement au sein de la CAS sur les sujets de modélisation prédictive. Il intervient régulièrement lors d’événements de la CAS et de webinars Akur8, et va à la rencontre du secteur pour partager méthodes et bonnes pratiques de modélisation actuarielle. Fellow de la CAS, Tom est diplômé en musique (University of Michigan et Ohio University).
